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Cosmology from LOFAR two-metre sky survey data release 2: angular clustering of radio sources

Covering ∼ 5600 deg2 to rms sensitivities of ∼70−100 μJy beam−1 , the LOFAR Two-metre Sky Survey Data Release 2 (LoTSS-DR2) provides the largest low-frequency (∼150 MHz) radio catalogue to date, making it an excellent tool for large-area radio cosmology studies. In this work, we use LoTSS-DR2 source...

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Main Authors: Hale, Catherine (Author) , Schwarz, D J (Author) , Best, P N (Author) , Nakoneczny, S J (Author) , Alonso, D (Author) , Bacon, D (Author) , Böhme, L (Author) , Bhardwaj, N (Author) , Bilicki, M (Author) , Camera, S (Author) , Heneka, Caroline (Author) , Pashapour-Ahmadabadi, M (Author) , Tiwari, P (Author) , Zheng, J (Author) , Duncan, K J (Author) , Jarvis, M J (Author) , Kondapally, R (Author) , Magliocchetti, M (Author) , Rottgering, H J A (Author) , Shimwell, T W (Author)
Format: Article (Journal)
Language:English
Published: 2024
In: Monthly notices of the Royal Astronomical Society
Year: 2024, Volume: 527, Issue: 3, Pages: 6540-6568
ISSN:1365-2966
DOI:10.1093/mnras/stad3088
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/stad3088
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Author Notes:C.L. Hale, D.J. Schwarz, P.N. Best, S.J. Nakoneczny, D. Alonso, D. Bacon, L. Böhme, N. Bhardwaj, M. Bilicki, S. Camera, C.S. Heneka, M. Pashapour-Ahmadabadi, P. Tiwari, J. Zheng, K.J. Duncan, M.J. Jarvis, R. Kondapally, M. Magliocchetti, H.J.A. Rottgering and T.W. Shimwell
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Summary:Covering ∼ 5600 deg2 to rms sensitivities of ∼70−100 μJy beam−1 , the LOFAR Two-metre Sky Survey Data Release 2 (LoTSS-DR2) provides the largest low-frequency (∼150 MHz) radio catalogue to date, making it an excellent tool for large-area radio cosmology studies. In this work, we use LoTSS-DR2 sources to investigate the angular two-point correlation function of galaxies within the survey. We discuss systematics in the data and an improved methodology for generating random catalogues, compared to that used for LoTSS-DR1, before presenting the angular clustering for ∼900 000 sources ≥1.5 mJy and a peak signal-to-noise ≥ 7.5 across ∼80 per cent of the observed area. Using the clustering, we infer the bias assuming two evolutionary models. When fitting angular scales of 0.5 ≤ θ < 5◦, using a linear bias model, we find LoTSS-DR2 sources are biased tracers of the underlying matter, with a bias of bC = 2.14+0.22 −0.20 (assuming constant bias) and bE (z = 0) = 1.79+0.15 −0.14 (for an evolving model, inversely proportional to the growth factor), corresponding to bE = 2.81+0.24 −0.22 at the median redshift of our sample, assuming the LoTSS Deep Fields redshift distribution is representative of our data. This reduces to bC = 2.02+0.17 −0.16 and bE (z = 0) = 1.67+0.12 −0.12 when allowing preferential redshift distributions from the Deep Fields to model our data. Whilst the clustering amplitude is slightly lower than LoTSS-DR1 (≥2 mJy), our study benefits from larger samples and improved redshift estimates.
Item Description:Gesehen am 05.07.2024
Physical Description:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/stad3088

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